Malcolm E Fisher

10.3k total citations
17 papers, 571 citations indexed

About

Malcolm E Fisher is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Malcolm E Fisher has authored 17 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Ecology. Recurrent topics in Malcolm E Fisher's work include Congenital heart defects research (6 papers), Developmental Biology and Gene Regulation (4 papers) and Hedgehog Signaling Pathway Studies (3 papers). Malcolm E Fisher is often cited by papers focused on Congenital heart defects research (6 papers), Developmental Biology and Gene Regulation (4 papers) and Hedgehog Signaling Pathway Studies (3 papers). Malcolm E Fisher collaborates with scholars based in United Kingdom, United States and Canada. Malcolm E Fisher's co-authors include Mary Elizabeth Pownall, Harry V. Isaacs, Virgilio Ponferrada, Troy J. Pells, Vaneet Lotay, Kamran Karimi, Peter D. Vize, Christina James‐Zorn, Aaron M. Zorn and Stanley Chu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Development.

In The Last Decade

Malcolm E Fisher

17 papers receiving 564 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Malcolm E Fisher United Kingdom 12 442 133 69 36 27 17 571
Erik Segerdell United States 13 532 1.2× 111 0.8× 61 0.9× 26 0.7× 30 1.1× 19 663
Christina James‐Zorn United States 10 433 1.0× 124 0.9× 75 1.1× 21 0.6× 38 1.4× 14 591
Joshua D. Fortriede United States 10 391 0.9× 116 0.9× 69 1.0× 16 0.4× 32 1.2× 11 514
Adam D. Langenbacher United States 17 422 1.0× 84 0.6× 91 1.3× 20 0.6× 32 1.2× 29 678
Olivier Tassy France 13 568 1.3× 181 1.4× 82 1.2× 36 1.0× 10 0.4× 21 748
Miroslav Hejna United States 10 465 1.1× 68 0.5× 90 1.3× 33 0.9× 62 2.3× 11 634
Simone Schindler United States 12 418 0.9× 101 0.8× 172 2.5× 34 0.9× 24 0.9× 17 610
Stefan Pauls Italy 8 420 1.0× 126 0.9× 238 3.4× 26 0.7× 23 0.9× 12 592
Fabrice Daian France 13 450 1.0× 69 0.5× 56 0.8× 27 0.8× 44 1.6× 21 611
R. Brent Calder United States 13 580 1.3× 99 0.7× 31 0.4× 25 0.7× 63 2.3× 17 905

Countries citing papers authored by Malcolm E Fisher

Since Specialization
Citations

This map shows the geographic impact of Malcolm E Fisher's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Malcolm E Fisher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm E Fisher more than expected).

Fields of papers citing papers by Malcolm E Fisher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm E Fisher. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Malcolm E Fisher. The network helps show where Malcolm E Fisher may publish in the future.

Co-authorship network of co-authors of Malcolm E Fisher

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm E Fisher. A scholar is included among the top collaborators of Malcolm E Fisher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Malcolm E Fisher. Malcolm E Fisher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Fisher, Malcolm E, Christina James‐Zorn, Virgilio Ponferrada, et al.. (2023). Xenbase: key features and resources of the Xenopus model organism knowledgebase. Genetics. 224(1). 38 indexed citations
2.
Fisher, Malcolm E, Erik Segerdell, Nicolas Matentzoglu, et al.. (2022). The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development. BMC Bioinformatics. 23(1). 99–99. 4 indexed citations
3.
Fisher, Malcolm E, Christina James‐Zorn, Troy J. Pells, et al.. (2019). Xenbase: Facilitating the Use of Xenopus to Model Human Disease. Frontiers in Physiology. 10. 154–154. 58 indexed citations
4.
Fortriede, Joshua D., Troy J. Pells, Stanley Chu, et al.. (2019). Xenbase: deep integration of GEO & SRA RNA-seq and ChIP-seq data in a model organism database. Nucleic Acids Research. 48(D1). D776–D782. 39 indexed citations
5.
James‐Zorn, Christina, Virgilio Ponferrada, Malcolm E Fisher, et al.. (2018). Navigating Xenbase: An Integrated Xenopus Genomics and Gene Expression Database. Methods in molecular biology. 1757. 251–305. 20 indexed citations
6.
Karimi, Kamran, Joshua D. Fortriede, Vaneet Lotay, et al.. (2017). Xenbase: a genomic, epigenomic and transcriptomic model organism database. Nucleic Acids Research. 46(D1). D861–D868. 137 indexed citations
7.
Rainger, Joe, Margaret Keighren, Douglas R. Keene, et al.. (2013). A Trans-Acting Protein Effect Causes Severe Eye Malformation in the Mp Mouse. PLoS Genetics. 9(12). e1003998–e1003998. 9 indexed citations
8.
Fisher, Malcolm E, Helen Downie, Monique Welten, et al.. (2011). Comparative Analysis of 3D Expression Patterns of Transcription Factor Genes and Digit Fate Maps in the Developing Chick Wing. PLoS ONE. 6(4). e18661–e18661. 14 indexed citations
9.
Welten, Monique, Yu Chen, Malcolm E Fisher, et al.. (2011). 3D expression patterns of cell cycle genes in the developing chick wing and comparison with expression patterns of genes implicated in digit specification. Developmental Dynamics. 240(5). 1278–1288. 14 indexed citations
10.
Berry, Rachel L., Louise Harewood, Pei Liu, et al.. (2010). Esrrg functions in early branch generation of the ureteric bud and is essential for normal development of the renal papilla. Human Molecular Genetics. 20(5). 917–926. 26 indexed citations
11.
Bangs, Fiona, Monique Welten, Megan G. Davey, et al.. (2010). Identification of genes downstream of the Shh signalling in the developing chick wing and syn-expressed with Hoxd13 using microarray and 3D computational analysis. Mechanisms of Development. 127(9-12). 428–441. 16 indexed citations
12.
Richardson, Lorna, Shanmugasundaram Venkataraman, Peter Stevenson, et al.. (2009). EMAGE mouse embryo spatial gene expression database: 2010 update. Nucleic Acids Research. 38(suppl_1). D703–D709. 77 indexed citations
13.
Göhring, Isabel, Andreas Tagariello, Sabine Endele, et al.. (2009). Disruption of ST5 is associated with mental retardation and multiple congenital anomalies. Journal of Medical Genetics. 47(2). 91–98. 10 indexed citations
14.
Fisher, Malcolm E, Allyson K. Clelland, Richard Baldock, et al.. (2008). Integrating technologies for comparing 3D gene expression domains in the developing chick limb. Developmental Biology. 317(1). 13–23. 34 indexed citations
15.
Fisher, Malcolm E, et al.. (2003). Cloning and characterisation of Myf5 and MyoD orthologues in Xenopus tropicalis. Biology of the Cell. 95(8). 555–561. 10 indexed citations
16.
Fisher, Malcolm E, Harry V. Isaacs, & Mary Elizabeth Pownall. (2002). eFGF is required for activation ofXmyoDexpression in the myogenic cell lineage ofXenopus laevis. Development. 129(6). 1307–1315. 60 indexed citations
17.
Fisher, Malcolm E, Harry V. Isaacs, & Mary Elizabeth Pownall. (2002). eFGF is required for the activation of XmyoD in the myogenic cell lineage of Xenopus laevis. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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